Top-K Recommendation on Yelp (test)
0.0773Recall@10PULSE
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| PULSEBatch Size=4096, Learning Rate=0.0012026.01 | 0.0773 | 0.1214 | 0.1818 | 0.0572 | 0.0706 | 0.0869 | — | — | |
| MixSGCLBatch Size=4096, Learning Rate=0.0012026.01 | 0.0711 | 0.1124 | 0.168 | 0.0527 | 0.0653 | 0.0803 | — | — | |
| AutoCFBatch Size=4096, Learning Rate=0.0012026.01 | 0.0707 | 0.1097 | 0.1668 | 0.0523 | 0.0643 | 0.08 | — | — | |
| SGLBatch Size=4096, Learning Rate=0.0012026.01 | 0.0691 | 0.1093 | 0.166 | 0.05 | 0.0622 | 0.0777 | — | — | |
| GBSRBatch Size=4096, Learning Rate=0.0012026.01 | 0.069 | 0.1094 | 0.1684 | 0.0494 | 0.0618 | 0.0777 | — | — | |
| SimGCLBatch Size=4096, Learning Rate=0.0012026.01 | 0.0688 | 0.1092 | 0.1664 | 0.0501 | 0.0625 | 0.078 | — | — | |
| MHCNBatch Size=4096, Learning Rate=0.0012026.01 | 0.0678 | 0.1052 | 0.1605 | 0.0499 | 0.0615 | 0.0766 | — | — | |
| LightGCLBatch Size=4096, Learning Rate=0.0012026.01 | 0.0667 | 0.1042 | 0.1581 | 0.049 | 0.0605 | 0.0753 | — | — | |
| GformerBatch Size=4096, Learning Rate=0.0012026.01 | 0.0651 | 0.1046 | 0.1597 | 0.0471 | 0.0592 | 0.0742 | — | — | |
| SGILBatch Size=4096, Learning Rate=0.0012026.01 | 0.0628 | 0.0977 | 0.1491 | 0.0468 | 0.0576 | 0.0717 | — | — | |
| LightGCNBatch Size=4096, Learning Rate=0.0012026.01 | 0.0618 | 0.1012 | 0.1566 | 0.0448 | 0.0568 | 0.0718 | — | — | |
| DSLBatch Size=4096, Learning Rate=0.001, modified_settings=true2026.01 | 0.0576 | 0.095 | 0.145 | 0.0418 | 0.0534 | 0.067 | — | — | |
| RecDiffBatch Size=4096, Learning Rate=0.001, modified_settings=true2026.01 | 0.0557 | 0.0924 | 0.1457 | 0.0398 | 0.051 | 0.0655 | — | — | |
| GDMSRBatch Size=4096, Learning Rate=0.001, modified_settings=true2026.01 | 0.0501 | 0.0824 | 0.1312 | 0.0353 | 0.0453 | 0.0584 | — | — | |
| FastPFRecLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 0.0705 | 0.0271 | |
| FedGNNLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 0.0518 | 0.0202 | |
| FedMFLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 0.0479 | 0.0176 | |
| FedNCFLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 0.0487 | 0.0202 | |
| LightGCNLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 0.086 | 0.0339 | |
| MFLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 0.0706 | 0.0286 | |
| PerFedRecLearning Paradigm=Federated2026.03 | — | — | — | — | — | — | 0.0549 | 0.0213 | |
| PerFedRec++Learning Paradigm=Federated2026.03 | — | — | — | — | — | — | 0.0653 | 0.0246 | |
| SGLLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 0.0911 | 0.0349 | |
| XSimGCLLearning Paradigm=Centralized2026.03 | — | — | — | — | — | — | 0.0959 | 0.0369 |